title: Combining pharmacological therapy and vaccination in Chronic Myeloid Leukemia via model predictive control.
abstract: This paper describes a simulation study which aims at optimizing the therapy for the control of Chronic Myeloid Leukemia according to the following objectives: the reduction of the administered drug and vaccine amounts, the establishment of a auto-immune response and the long-term control of disease without reducing the effective of therapy with respect to the full treatment. A therapy optimization method is developed defining and solving a Model Predictive Control algorithm, preceded by an accurate Initial Guess search based on Monte-Carlo like approach. Simulation results show that the suggested procedure achieves the proposed goals.
authors.forename: Marco
authors.initials: M
authors.lastname: Laurino
authors.forename: Maurizio
authors.initials: M
authors.lastname: Stano
authors.forename: Monica
authors.initials: M
authors.lastname: Betta
authors.forename: Gabriele
authors.initials: G
authors.lastname: Pannocchia
authors.forename: Alberto
authors.initials: A
authors.lastname: Landi
mesh_terms: D000465:Algorithms; D019496:Cancer Vaccines; D003198:Computer Simulation; D006801:Humans; D015464:Leukemia, Myelogenous, Chronic, BCR-ABL Positive / Q000188:drug therapy* / Q000276:immunology; D008954:Models, Biological; D009010:Monte Carlo Method; D014611:Vaccination
chemical_list: D019496:Cancer Vaccines